Lead Data Scientist

We are looking for a Lead Data Scientist for a multinational that provides supply chain solutions.
As a Lead Data Scientist, you will build, develop and manage a team of high performing data engineers and scientist.

Purpose, scope and responsibilities
  • Build and manage a team of data engineering and data science resources along with their assignment, sequencing, and allocation
  • Lead data and ML engineers to ensure data access for discovery and proper data is prepared for model consumption.
  • Identify opportunities automate key supply chain planning and execution workflows.
  • Explore new ways to leverage ML and NLP within the service supply chain workflows, e.g.: Part Chaining, Lifecycle curves, Forecast Accuracy etc.
  • Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
  • Strong ability to plan and manage numerous processes, people and projects simultaneously.
  • End-to-end Data + Analytics and AI+ML delivery execution ownership.
  • Influence product teams through data-based recommendations
  • Set KPIs and metrics to evaluate analytics solution given a particular use case.
  • Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
  • Horizontal visibility across products and solutions to help drive re-use and reduce redundancy in the data and analytics across broader company portfolio
  • Translate the analytics solutions back to the business to ensure its actionable and business can drive value from those insights
  • Communicate proactively to two audiences (Business and Technical) at once
  • Ensure the technical teams are clear on the “why” from the perspective of the Business customer
  • Design, develop, implement, calibrate optimization and simulation models.
  • Develop source code and troubleshoot data issues and model solutions.
  • Build complex datasets from multiple data sources.
  • Create reusable packages or libraries.
  • Execute in line with product vision and framework set by the product strategy team
  • Act as a champion of SCRUM principles and practices

Job requirements
  • 6+ years of experience working in data science ideally in the tech or supply chain domain
  • 3+ years of experience managing Machine Learning Scientists, Data Scientists, and Data Engineers Expert in Python and statistical/machine learning tools
  • Familiarity with Java, C++, or other programming languages
  • Knowledge of ETL tools like Pentaho, Talend, AWS Glue or Stitch
  • Experience with AWS ML tools like SageMaker, Lex
  • Experienced in handling large data sets using SQL and databases in a business environment
  • Experience with big data tools like Databricks, Apache Spark or Hadoop
  • Experience of working with NoSQL databases like MongoDB and Elasticsearch
  • Excellent leadership skills, with a team-player attitude to drive the end-to-end implementation of use cases under time pressure
  • Applying trade-off driven decisions based on available data in managing multiple priorities simultaneously
  • Ability to work in teams & communicate across multiple levels across the organization
  • Ability to solicit feedback, understand customer needs and translate those to achievable scope
  • Bachelor’s degree in Business/Engineering or other quantitative fields. Ideally, Operations Research or Industrial Engineering background.
  • Strong domain knowledge in supply chain
  • In-depth knowledge of Agile/SCRUM frameworks
  • Working knowledge of JIRA, Confluence, Jenkins and GIT
  • Strong communication skills, verbal and written
  • Fluency in English

  • Permanent position
  • Hybrid model
  • Location: Barcelona
  • Health insurance
  • 23 days of paid vacation
  • Budget for training (IT and languages)
  • International environment
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Tipo de trabajo
Tecnología e Internet
According your experience

Hablar con un consultor

Hablar con Maria Bert, la persona que lleva esta posición, en la oficina de Barcelona
Hays Barcelona, Calle Valencia, 307-313, bajos 1ª

Teléfono: +34 670 321 933

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